We begin with emphasis on observation and perception in this
behavioural model. On one hand, a simple phenomenon can produce
extremely complex chaotic behaviour, such as the famous Lorenz
equations. On the other hand, however, a very complex system can also
produce (for the most part) consistently recurring simple patterns and
regularities, and trigger simplistic observations. For example, it is
very easy to predict the location of the sun in the sky from the
periodic nature of night and day, however, the underlying mechanism
(gravitation and orbits) are significantly harder to
understand. Mankind understood the first concept far before mastering
the second. The ARL paradigm is predominantly concerned with
perceptual observations taken from a system (i.e. a human) and
focusses on regenerating the perceived behaviour. Thus, in this
emphasis, an observational system is more likely to capture what
people notice in their perception as opposed to the true underlying
causes and processes. Some complex components of human behaviour
(i.e. watching TV) might require extremely complex mental modeling but
ultimately, might be expressed in a minimal way (i.e. staring
blankly). The behaviour we are trying to recover is the perceptually
energetic and observable component that is manifested in physical
actions. It should be easily measureable using human-like sensors
(vision). Therefore, behavioural modeling resources will not be
squandered recovering modes of operation that will not have strong
expressivity. The focus on perceptual and expressive modes would,
consequently, provide an exterior observer of the ARL system's
interaction synthesis a more convincing illusion of behaviour and
life.